BCA1SG: Block Coordinate Ascent with One-Step Generalized Rosen Algorithm

Implementing the Block Coordinate Ascent with One-Step Generalized Rosen (BCA1SG) algorithm on the semiparametric models for panel count data, interval-censored survival data, and degradation data. A comprehensive description of the BCA1SG algorithm can be found in Wang et al. (2020) <https://github.com/yudongstat/BCA1SG/blob/master/BCA1SG.pdf>. For details of the semiparametric models for panel count data, interval-censored survival data, and degradation data, please see Wellner and Zhang (2007) <doi:10.1214/009053607000000181>, Huang and Wellner (1997) <ISBN:978-0-387-94992-5>, and Wang and Xu (2010) <doi:10.1198/TECH.2009.08197>, respectively.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: Matrix, logOfGamma, stats
Published: 2019-12-06
Author: Wang Yudong, Ye Zhisheng, and Cao Hongyuan
Maintainer: Wang Yudong <yudongw at u.nus.edu>
License: GPL-2
NeedsCompilation: no
Materials: README
CRAN checks: BCA1SG results

Downloads:

Reference manual: BCA1SG.pdf
Package source: BCA1SG_0.1.0.tar.gz
Windows binaries: r-devel: BCA1SG_0.1.0.zip, r-devel-gcc8: BCA1SG_0.1.0.zip, r-release: BCA1SG_0.1.0.zip, r-oldrel: BCA1SG_0.1.0.zip
OS X binaries: r-release: BCA1SG_0.1.0.tgz, r-oldrel: BCA1SG_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BCA1SG to link to this page.